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Embedding a priori knowledge in reinforcement learningRIBEIRO, C. H. C.Journal of intelligent & robotic systems. 1998, Vol 21, Num 1, pp 51-71, issn 0921-0296Article

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A two-layered multi-agent reinforcement learning model and algorithm : Information technologyWANG, Ben-Nian; YANG GAO; CHEN, Zhao-Qian et al.Journal of network and computer applications. 2007, Vol 30, Num 4, pp 1366-1376, issn 1084-8045, 11 p.Conference Paper

Physiological and behavioral signatures of reflective exploratory choiceOTTO, A. Ross; KNOX, W. Bradley; MARKMAN, Arthur B et al.Cognitive, affective & behavioral neuroscience (Print). 2014, Vol 14, Num 4, pp 1167-1183, issn 1530-7026, 17 p.Article

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